Anthropic today is releasing a preview of Claude Code Review, which uses agents to catch bugs in every pull request. It is in research preview to Team and Enterprise users. With AI tools creating code at a remarkable pace, code reviews are becoming a bottleneck, so most PRs are getting light scans instead of deeper … continue reading
Decades ago, we abandoned the practice of measuring developers for the number of lines of code they developed. We realized it was too easy to game the system by writing bloated code that reduced value rather than increased it. The best developers, who made code smaller, faster, and easier to maintain, were penalized, because they … continue reading
The headlines are seductive: AI will replace developers. Coding is dead. Ship 10x faster with half the team. It’s the kind of hype that grabs attention and fuels confusion. I understand the appeal. As a former chief product officer and now CEO, I’ve seen firsthand how AI can dramatically boost productivity. But let’s be clear: … continue reading
For three years, I’ve watched the AI coding revolution unfold with a mix of fascination and frustration. As someone who’s built and led AI engineering and product teams at Google, SwiftKey, Yahoo, and beyond, I’m calling it: we’re collectively falling for a productivity mirage. We’re celebrating typing speed while ignoring the actual bottlenecks that cripple … continue reading
Organizations understand the importance of code in today’s business landscape. We rely on software to power our daily lives — the global market is projected to grow to nearly $1.6 trillion within the next decade. Developers are feeling the pressure from this, with the increased push to write more code every day. However, this does … continue reading
Various studies have shown that developers spend only 25% to 35% of their time actually coding. That means if a copilot boosts their coding productivity by a factor of 2, it may only save an hour of their day. Which begs the question: where is the rest of their time spent and how can AI … continue reading
In a study of its development teams, Meta has noticed a strong correlation of developer satisfaction dipping whenever diff review times are slow based on several metrics at the company. Diff reviews refer to any individual set of changes made to the codebase. Diff reviews which can catch bugs, teach best practices, and ensure high … continue reading
AWS has released a new developer tool powered by machine learning. CodeGuru provides intelligent recommendations for improving code quality and lowering operational costs. “Our customers develop and run a lot of applications that include millions and millions of lines of code. Ensuring the quality and efficiency of that code is incredibly important, as bugs and … continue reading
Static code analysis company DeepCode announced the DeepCode plugin for IntelliJ, PyCharm, and WebStorm, designed to find bugs and critical vulnerabilities in code. The plugin comes with Java, C/C++, Python, JavaScript and TypeScript support. DeepCode is also working on adding CLion support. According to the company, it uses a new symbolic AI technique called Ontology … continue reading
Code reviews help improve code quality and help share knowledge. Yet, posts about the dread and hatred of code reviews are plentiful. One of the most authoritative surveys tells us that only 45% of respondents are either satisfied or very satisfied with their process. With almost 80% of respondents participating in code reviews either daily … continue reading
DeepCode is bringing its AI-powered code review capabilities to Visual Studio Code. The company announced an open-source extension that will enable developers to use DeepCode to detect bugs and issues in Visual Studio Code. RELATED CONTENT: Artificially intelligent “co-developers” Be (AI) smarter about your digital transformation New AI platform tackles ten steps of AutoML DeepCode … continue reading
GitHub acquired Pull Panda to help teams create more efficient and effective code review workflows on GitHub. The financial terms were not revealed by the companies. According to the company, Pull Panda advances code reviews through Pull Reminders,which sends a notification through Slack when a collaborator needs review; Pull Analytics, which offers real-time insight into … continue reading
